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Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Exam Questions
- Salesforce Consultant Certifications
- Salesforce CRM Analytics and Einstein Discovery Consultant Certifications
- Topic 1: Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It's all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.
- Topic 2: Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.
- Topic 3: Admin/Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync/dataflows/recipe limits.
- Topic 4: Analytics Dashboard Implementation: Here, consultants embark on a creative exploration of dashboard configuration, optimization of query performance using Dashboard Inspector, and using advanced functionality such as windowing.
- Topic 5: Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.
- Topic 6: Einstein Discovery: This section unveils the magic of AI-driven insights and candidates' ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein's advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.
Free Salesforce Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) Exam Actual Questions
Note: Premium Questions for Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) were last updated On May. 19, 2026 (see below)
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?
For Cloud Kicks' requirements regarding access to data based on roles and geographic regions, the most efficient and scalable approach is to implement row-level security using fields on the user record, like Department or Region. Here's the rationale for choosing this approach:
Scalability and Maintenance: By applying security rules based on user record fields, Cloud Kicks can manage access dynamically without needing to maintain multiple dashboards or datasets. This reduces administrative overhead and simplifies updates as roles or regional structures change.
Flexibility: Using a field on the user record to control access allows for easy expansion or modification of security policies as new regions or roles are added.
Simplicity: This method ensures a clear and straightforward security model that can be easily audited and understood by administrators and compliance teams.
The sole manager of a CRM Analytics app at Cloud Kicks is leaving the company.
What should the CRM Analytics consultant do to ensure the app remains accessible?
To ensure continuity in managing a CRM Analytics app at Cloud Kicks after the current manager leaves, it is critical to proactively assign a new manager. Here's why this is the best approach:
Role Transition: Assigning a new manager before the current manager's account is deactivated ensures there is no gap in app management, maintaining access and administrative continuity.
Avoid Disruption: Waiting for an automatic reassignment (which does not typically occur in CRM Analytics) or post-deactivation reassignment could disrupt the management and operation of the app, potentially leading to access issues or administrative challenges.
Proactive Management: This approach is in line with best practices for CRM system management, where critical roles and responsibilities are transitioned smoothly to avoid any operational disruptions.
A consultant wants to understand what the important predictors are in a model.
Where is this information found?
The important predictors of a model in CRM Analytics can typically be found under the Model Settings. This area provides detailed information about the configuration and the inputs (predictors) used to train the model. Insights into which predictors have the most significant impact on the model's outcomes can be gleaned from this section, enabling a deeper understanding of the model's internal workings and the factors driving predictions.
The CRM Analytics consultant at Universal Containers has set data syncs and recipe runs back to back. However, they notice that the data syncs and recipe run jobs fail repeatedly. Upon investigation,
they realize the data syncs and recipes are tightly coupled which leads to too many runs being queued and eventually being canceled.
How should the consultant resolve this issue?
After the initial creation of a model, the first model insight explains
93% of the variation of the outcome variable. This is unusually high.
What is the most likely reason for this?
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